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Zbl 0839.93069
Mušicki, D.; Evans, R.
Integrated probabilistic data association-finite resolution. (English)
[J] Automatica 31, No.4, 559-570 (1995). ISSN 0005-1098

This paper discusses the problem of data association and track existence for sensors with finite resolution. An integrated algorithm called IPDA-FR (Integrated Probabilistic Data Association-Finite Resolution) is presented: It provides data association formulae and recursive formulae for probability of track existence. Its derivation follows the IPDA algorithm [the authors and {\it S. Stankovic}, IEEE Trans. Autom. Control 39, 1237-1241 (1994; Zbl 0811.93057)] extending it to fit the finite resolution sensor model. They discuss two cases: the static clutter where a complete clutter map is available and the case where no a priori false alarm statistics are assumed. A simulation study illustrates the difference between IPDA-FR and IPDA algorithms in terms of true and false track discrimination and state estimation error.
[K.Uosaki (Tottori)]

MSC 2000:: *93E10 Estimation and detection in stochastic control
93E25 Computational methods in stochastic control

Keywords: target tracking; Kalman filters; state estimation; Markov processes; data association; sensors

Citations: Zbl 0811.93057

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